Fenglian Yuan

Nanjing University of Science and Technology

Papers

Total Citations

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About

Fenglian Yuan is a researcher in semiconductor manufacturing and automation engineering, with a focus on optimizing cluster tool scheduling in wafer fabrication. Their most-cited work, "Scheduling of time-constrained single-arm cluster tools with purge operations in wafer fabrications" (2022, 7 citations), addresses critical challenges in advanced chip production, specifically managing time constraints and purge operations to prevent contamination and improve yield. This contribution is vital for enhancing the efficiency and reliability of single-arm cluster tools, which are essential in modern semiconductor fabs. Yuan's research bridges theoretical scheduling algorithms and practical industrial applications, offering solutions that reduce cycle times and meet stringent process deadlines. Though early in their citation impact, this work has already garnered attention from peers working on similar optimization problems in manufacturing systems. Yuan’s expertise lies in developing robust scheduling models that account for real-world constraints, positioning them as a rising contributor to the field of automated material handling and process control in wafer fabrication. Their ongoing work promises to further advance the precision and throughput of semiconductor manufacturing.